Note that \(^T A\)  can be viewed as a linear combination of all rows of \(A\) . In particular, if \(\)  is a Gaussian vector, i.e., \(=[\eta _i]\in ^{m}\)  with \(\eta _i\sim (0,1)\) , Gower et al. [1]} called (REF ) the Gaussian Kaczmarz method. Similarly, \(A\)  can be viewed as a linear combination of all columns of \(A\) . (REF ) is denoted by the Gaussian least-squares method in [1]} if \(\)  is a Gaussian vector, i.e., \(=[\xi _j]\in ^{n}\)  with \(\xi _j\sim (0,1)\) . For more row and column iteration formats, we refer to [3]}.
